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.gitattributes

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README.md

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 ---
-title: CSGO-Weapon-Classification App
-emoji: 😻
-colorFrom: purple
-colorTo: indigo
+title: CSGO Weapon Classification App
+emoji: 🔫
+colorFrom: green
+colorTo: orange
 sdk: gradio
-sdk_version: 3.17.0
+sdk_version: 3.0.24
 app_file: app.py
 pinned: false
-license: openrail
+license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from transformers import pipeline
+
+examples = ["examples/example_0.jpg", 
+            "examples/example_1.png", 
+            "examples/example_2.png", 
+            "examples/example_3.png", 
+            "examples/example_4.jpg",
+            "examples/example_5.png"]
+
+pipe = pipeline(task="image-classification", 
+                model="Kaludi/csgo-weapon-classification")
+gr.Interface.from_pipeline(pipe, 
+                           title="CSGO Weapon Image Classification",
+                           description = "This is a CSGO Weapon Classifier Model that has been trained by <strong><a href='https://huggingface.co/Kaludi'>Kaludi</a></strong> to recognize <strong>11</strong> different types of Counter-Strike: Global Offensive (CSGO) Weapons, which include <strong>AK-47,AWP,Famas,Galil-AR,Glock,M4A1,M4A4,P-90,SG-553,UMP,USP</strong>. The model is capable of accurately classifying the weapon name present in an image. With its deep understanding of the characteristics of each weapon in the game, the model is a valuable tool for players and fans of CSGO.",
+                           article = "<p style='text-align: center'><a href='https://github.com/Kaludii'>Github</a> | <a href='https://huggingface.co/Kaludi'>HuggingFace</a></p>",
+                           examples=examples,
+                           ).launch()

requirements.txt

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+fastcore>=1.3.27
+gradio
+transformers

resources/food_info.csv

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+Food,Calories,Grams of Fat,Grams of Carbs,Grams of Protein
+sushi,1,2g,2g,2g
+apple_pie,2,2g,2g,2g
+tiramisu,3,2g,2g,2g